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Tangent Kernel Approach for Class Balanced Incremental Learning
The proposed method is a class-balanced incremental learning approach that aims to address both classes-balanced accuracy and overall classification accuracy. -
Human-In-The-Loop Person Re-Identification
Person re-identification (re-id) is the problem of matching people across non-overlapping camera views distributed in open spaces at different locations, typically achieved by... -
IIRC-CIFAR
The IIRC-CIFAR dataset is a benchmark for evaluating models in the Incremental Implicitly-Refined Classification (IIRC) setup. -
Incremental learning techniques for semantic segmentation
Incremental learning techniques for semantic segmentation